--- title: "Tianhao Li · Alibaba Group — author profile and papers" description: "Tianhao Li, Alibaba Group: 4 papers on Elamur Research (2023–2026), h-index 2 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/tianhao-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tianhao-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Tianhao Li # Tianhao Li Tianhao Li has 4 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Baosong Yang](https://md.research.elamur.ai/free/en/authors/baosong-yang/), [Haoran Wei](https://md.research.elamur.ai/free/en/authors/haoran-wei/), [Huan Lin](https://md.research.elamur.ai/free/en/authors/huan-lin/). 4 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5003521620) · [ORCID](https://orcid.org/0009-0000-6106-5914) · [**h-index 2**](https://openalex.org/authors/A5003521620) · [7 works](https://openalex.org/works?filter=author.id:A5003521620) · [31 citations](https://openalex.org/works?filter=author.id:A5003521620&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/tianhao-li/#papers) · [🔗 Cited 91 times in our library](https://md.research.elamur.ai/free/en/authors/tianhao-li/cited-by/) · [⭐ Paper Stars ranking: #7801](https://md.research.elamur.ai/free/en/paper-stars/page/79/#star-7801) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Tianhao+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tianhao+Li) · [dblp](https://dblp.org/search?q=Tianhao+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Tianhao+Li) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2023–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🏢**Alibaba Group** George Town · Cayman Islands 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group-cayman-islands/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP · 2 works](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/tianhao-li/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/tianhao-li/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[PolyLM: An Open Source Polyglot Large Language Model](https://md.research.elamur.ai/free/en/papers/wei-2023-polylm-open-source-polyglot-large/)** *(2023 · 103 citations)* Most open LLMs are trained mainly on English, so they handle many widely spoken languages poorly. Open multilingual instruction data and a shared multilingual evaluation suite are also missing. Researchers at Alibaba's DAMO Academy tackle all three gaps. They pre-train PolyLM from scratch in two sizes, 1.7B and 13B… 2. **[Qwen-Scope: Turning Sparse Features into Development Tools for Large Language Models](https://md.research.elamur.ai/free/en/papers/deng-2026-qwen-scope-turning-sparse/)** *(2026 · 3 citations)* Sparse autoencoders (SAEs) break LLM hidden states into a small number of interpretable directions. In practice, though, they have mostly been used to inspect and label features after the fact, not to build or fix models. The Qwen Team addresses this with Qwen-Scope, an openly released collection of SAEs trained on… 3. **[A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAMΔ Integration into Upcycled MoE](https://md.research.elamur.ai/free/en/papers/zhou-2026-data-efficient-path-multilingual-llms/)** *(2026)* Adding a new language to an LLM normally requires continued pre-training (CPT) followed by costly alignment, including SFT and RL on large instruction sets. 4. **[Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in LLMs](https://md.research.elamur.ai/free/en/papers/zheng-2026-are-all-prompt-components-value/)** *(2026)* Most work on adversarial prompting treats a prompt as one undivided string. This paper argues instead that prompts are built from functional parts, and that these parts differ in how easily an attack can exploit them. ## Co-authors here 12 of 19 co-authors with a page, the most papers together first. - [Baosong Yang](https://md.research.elamur.ai/free/en/authors/baosong-yang/) ×2 - [Haoran Wei](https://md.research.elamur.ai/free/en/authors/haoran-wei/) ×2 - [Huan Lin](https://md.research.elamur.ai/free/en/authors/huan-lin/) ×2 - [Yu Wan](https://md.research.elamur.ai/free/en/authors/yu-wan/) ×2 - [Boyi Deng](https://md.research.elamur.ai/free/en/authors/boyi-deng/) - [Hao Zhou](https://md.research.elamur.ai/free/en/authors/hao-zhou/) - [Jiajun Chen](https://md.research.elamur.ai/free/en/authors/jiajun-chen/) - [Jialong Tang](https://md.research.elamur.ai/free/en/authors/jialong-tang/) - [Jingyu Lu](https://md.research.elamur.ai/free/en/authors/jingyu-lu/) - [Linjuan Wu](https://md.research.elamur.ai/free/en/authors/linjuan-wu/) - [Pei Zhang](https://md.research.elamur.ai/free/en/authors/pei-zhang/) - [Shangjie Li](https://md.research.elamur.ai/free/en/authors/shangjie-li/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) ## Cited by Papers of our library cite their works 91 times (of the 149,439 papers whose bibliographies we read); [27 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tianhao-li/cited-by/). Updated 2 November 2026